A Data Mining Application for Managing the Higher Education sector Case study: University of M'sila

dc.contributor.authorGIIODBAIYE, Mebarek
dc.contributor.authorSupervised: BRAHIMI, MAHMOUD
dc.date.accessioned2023-05-18T08:47:59Z
dc.date.available2023-05-18T08:47:59Z
dc.date.issued2012-06-10
dc.description.abstracttn recent )€ars, decision support systems otherwise called business Intelligence [BI] have become an integnl part of organization's decision making strategy' Data warehousing and Data Miniry are rxytt- plarying a significant role in strategic decision making' It helps companies make b€ffi decisions. srreanline work-flows, provide better customer services, and target market their produqs and serrices.. This work is all about developing data warehouse and data mining M€thods ft}r rnenagement using the University of M'sila Student database as a case study' It describes the process of data warehouse design and development data mining structures using Micrmoft sQL Serr.er Analysis services. It also outlines the development of a data cube as well as apdiction of online Anatytical processing (oLAP) tools and Data Mining tools in data analysis'en_US
dc.identifier.urihttps://depot.univ-msila.dz/handle/123456789/38200
dc.language.isoenen_US
dc.publisherUniversity of M'silaen_US
dc.subjectData *anehouse, Data Mining, Dimensional modeling' OLAPen_US
dc.titleA Data Mining Application for Managing the Higher Education sector Case study: University of M'silaen_US
dc.typeThesisen_US

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